Sr Operations Research Scientist - Supply Chain Network Optimization (Simulation, Optimization, Data Pipelining)

The pay range is $95,000.00 - $171,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN US AS A SR OPERATION RESEARCH SCIENTIST – SUPPLY CHAIN NETWORK OPTIMIZATION

About Us:

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. 

About this opportunity:

Do you want to shape the future Supply Chain and Logistics strategy for a fortune 50 company and one of America’s leading Retailer? Do you want to optimize Target’s Global Supply Chain end to end, from sourcing to delivery of packages to guest? Are you excited at the prospect of analyzing large data sets and developing complex algorithms, simulation and optimization models to solve real world problems? Then this may be the ideal career opportunity for you!

The Supply Chain Network Optimization (SCNO) team is a global team integrated in the Operations Planning and Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, Transportation, Multi Echelon Inventory, Last-Mile and Process Optimization) to enable the best guest experience and profitable growth for Target.

As a Senior Operation Research Scientist in SCNO, you will be studying the complex problems in supply chain, understanding the business well and develop cutting-edge solutions. The role requires you to have strong working experience with large data sets, strong programming skills (Python/R) and foundational understanding of probability theory, machine learning and Monte Carlo simulations. Extensive knowledge of statistics, operations research and discrete event simulation is ideal as well. 

As a Senior Operations Research Scientist you will:

• Know your business and understand supply chain operational metrics and cost of end to end operations of supply chain.
• Analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate the performance and optimization opportunities for supply chain across sales, transportation, operations and inventory.
• Perform root cause analysis to understand key drivers related to operational performance and variance in the projected outcomes.
• Utilize operations research methodologies (linear programming, stochastic processes, simulation) to solve complex business problems.